Data Science Webinar

David Smith of Revolution Analytics will be presenting a webinar tomorrow, Thursday, November 1, 2012. The webinar is titled, The Rise of Data Science in the Age of Big Data Analytics: Why data distillation and machine learning aren’t enough. Registration for the webinar is free.

David Smith is one of the most popular bloggers on the topics of data science, big data, and R. He blogs at http://blog.revolutionanalytics.com/

Startup Showcase – How did I do?

Yesterday, I made some predictions about the startups I thought would win at the Strata Startup Showcase. Here are the winners.

So how did I do? Well, I got one of the winners correct. I selected Placed. Hopefully videos of the demos will be available. If I find them, I will post some of them to the blog.

Data Startup Showcase

As part of New York City Big Data Week, a startup showcase is being offered. It will consist of 14 startups. Each startup will get to give a quick demo/presentation. Then Tim O’Reilly and Fred Wilson will select 3 winners. Also, numerous investors and journalists will be present. A complete list of the startups presenting is available on the Startup Showcase page.

Which ones do you think will win?

Without seeing any of the presentations, here are my 3 picks.
This might be my darkhorse pick, but I think InfoActive has my vote. I also like Placed for location analytics, and TempoDB is very intriquing as it is simply a time-series database.

Hadoop World/Strata Conference

The 2012 edition of Hadoop World and Strata Conference is underway. The conference is in New York City and if you are not lucky enough to attend, then at least you can watch the live video feed.

[gigya src=”http://cdn.livestream.com/grid/LSPlayer.swf?channel=oreillystrata” quality=”high” width=”650″ height=”400″ ]

Watch live streaming video from oreillystrata at livestream.com

3 Secrets for Aspiring Data Scientists | Software Advice

Michael Koploy wrote 3 Secrets for Aspiring Data Scientists about what it takes to enter a career as a data scientist. He lays out 3 steps:

  1. Sharpen Your Scientific Saw – Hone your math and science skills
  2. Learn the Language of Business – Data Scientists need to explain the data in business terms
  3. Keep Adding to Your Technical Toolbelt – Learn all the tools you can (NoSQL, Excel, Hadoop,…)

The article is a nice read. http://blog.softwareadvice.com/articles/bi/3-career-secrets-for-data-scientists-1101712/